Results 81 to 90 of about 170 (111)

A propos du diagnostic de l'hépatite virale AMise en évidence des anticorps anti-hépatite A de type IgM

Revue Francaise de Transfusion et Immuno-hématologie, 1980
Resume Une modification de la technique de Bradley est presentee qui permet de faire le diagnostic d'hepatite a virus A en evolution par la mise en evidence d'anticorps anti-HAV de type IgM. Le dosage des anticorps est effectue par methode radioimmunologique. Les anticorps de type IgG sont absorbes par la proteine A. L'etude faite sur 308 serums dont
M MANIEZMONTREUIL, M DUPRESSOIR, M GOUDEMAND   +2 more
openaire   +2 more sources

IMDENCLUE: An Improved DENCLUE Clustering Based On Kernel Density Estimation Optimisation And Cluster Merging Strategy

International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023
As a representative of density-based method, DENCLUE discovers the density-attractors of data using Hill Climbing (HC), if there exists a path between significant density-attractors, data points belonging to those attractors are grouped as one cluster ...
Zhiwei Ye, Jiazhi Lv, Yuanhu Liu, Yingying Liu, Zhenwei Wu, Wanfang Bai   +5 more
semanticscholar   +1 more source

Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications

Communications in Statistics - Theory and Methods, 2020
The derivatives of the probability density or regression functions contain important information concerning a multivariate data set, such as modal regions.
Salim Bouzebda, S. Didi
semanticscholar   +1 more source

A note on application of kernel derivatives in density estimation with the univariate case

Journal of Statistics & Management Systems, 2019
This paper considers the application of kernel density derivatives to real life data. Kernel density derivatives estimation is very fundamental and critical in statistical data analysis especially for exploratory and visualization purposes.
I. U. Siloko, O. Ikpotokin, F. Oyegue, C. Ishiekwene, B. A. Afere   +4 more
semanticscholar   +1 more source

Kernel Smoothing for Bounded Copula Density Functions

European Journal of Statistics
Non-parametric estimation of copula density functions presents significant challenges. One issue is the unboundedness of certain copula density functions and their derivatives at the corners of the unit square.
M. Muia, Olivia Atutey, Mahmud Hasan
semanticscholar   +1 more source

Nonparametric Estimation of the Laplace Transform from Empirical Data Using Symmetric Kernels Method

Journal of Advances in Mathematics and Computer Science
Focusing on the use of a Gaussian kernel, the paper constructs a nonparametric Laplace transform estimator via symmetric kernel methodology. Convergence rates and an asymptotic mean integrated squared error (AMISE) formula are used to establish ...
R. Kabore, Sobom M. Somé, Abel Zongo, S. P. C. Nitiema   +3 more
semanticscholar   +1 more source